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Titlebook: Computational Many-Particle Physics; H. Fehske,R. Schneider,A. Wei?e Book 2008 Springer-Verlag Berlin Heidelberg 2008 Approximation.Densit

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發(fā)表于 2025-3-21 16:50:56 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Many-Particle Physics
編輯H. Fehske,R. Schneider,A. Wei?e
視頻videohttp://file.papertrans.cn/233/232653/232653.mp4
概述Covers the major developments in computational many-particle physics.Integrates classical and quantum physics and computational methods.Both a study text for students and a reference work for research
叢書名稱Lecture Notes in Physics
圖書封面Titlebook: Computational Many-Particle Physics;  H. Fehske,R. Schneider,A. Wei?e Book 2008 Springer-Verlag Berlin Heidelberg 2008 Approximation.Densit
描述.Complicated many-particle problems abound in nature and in research alike. Plasma physics, for example, or statistical and condensed matter physics are all heavily dependent on efficient methods for solving such problems. Addressing graduate students and young researchers, this book presents an overview and introduction to state-of-the-art numerical methods for studying interacting classical and quantum many-particle systems. A broad range of techniques and algorithms are covered, and emphasis is placed on their implementation on modern high-performance computers..
出版日期Book 2008
關鍵詞Approximation; Density matrix renormalization; High-performance computing; Many-particle problem; Monte
版次1
doihttps://doi.org/10.1007/978-3-540-74686-7
isbn_softcover978-3-642-09414-9
isbn_ebook978-3-540-74686-7Series ISSN 0075-8450 Series E-ISSN 1616-6361
issn_series 0075-8450
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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Lecture Notes in Physicshttp://image.papertrans.cn/c/image/232653.jpg
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https://doi.org/10.1007/978-3-540-74686-7Approximation; Density matrix renormalization; High-performance computing; Many-particle problem; Monte
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Book 2008re all heavily dependent on efficient methods for solving such problems. Addressing graduate students and young researchers, this book presents an overview and introduction to state-of-the-art numerical methods for studying interacting classical and quantum many-particle systems. A broad range of te
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Monte Carlo Methods in Classical Statistical Physics
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